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Maritime Policy & Management
The flagship journal of international shipping and port research
Volume 50, 2023 - Issue 7
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Research Article

A deep learning approach for port congestion estimation and prediction

Wenhao Penga Department of Industrial Engineering, Tsinghua University, Beijing, CY, ChinaView further author information
,
Xiwen Baia Department of Industrial Engineering, Tsinghua University, Beijing, CY, ChinaCorrespondence[email protected]
View further author information
,
Dong Yangb Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hong Kong, CY, ChinaORCID Iconhttps://orcid.org/0000-0002-9239-0899View further author information
ORCID Icon,
Kum Fai Yuenc School of Civil and Environmental Engineering, Nanyang Technological University, Singapore, SingaporeORCID Iconhttps://orcid.org/0000-0002-9199-6661View further author information
ORCID Icon &
Junfeng Wud Shanghai WinJoin Information Technology Co Ltd, Shanghai, CY, ChinaView further author information
Pages 835-860 | Published online: 07 Apr 2022

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Minato Nakashima & Ryuichi Shibasaki. (2023) Can AIS data improve the short-term forecast of weekly dry bulk cargo port throughput? - a machine-learning approach. Maritime Policy & Management 0:0, pages 1-17.
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Articles from other publishers (12)

Bingmei Gu, Jiaguo Liu, Xiaoheng Ye, Yu Gong & Jihong Chen. (2024) Data-driven approach for port resilience evaluation. Transportation Research Part E: Logistics and Transportation Review 186, pages 103570.
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Summer Guo, Haoqing Wang & Shuaian Wang. (2024) Managing port disruption through sailing speed optimization for sustainable maritime transportation. Cleaner Logistics and Supply Chain 11, pages 100153.
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Nitin Newaliya & Yudhvir Singh. (2024) Multivariate hierarchical DBSCAN model for enhanced maritime data analytics. Data & Knowledge Engineering 150, pages 102282.
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Xiaolei Liu, Yifan Liu, Shuaifei Wang & Gang Dong. (2024) New canal construction and marine emissions strategy: a case of Pinglu. Frontiers in Marine Science 10.
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Kee-hung Lai & Dong Yang. 2024. The Palgrave Handbook of Supply Chain Management. The Palgrave Handbook of Supply Chain Management 797 808 .
Kee-hung Lai & Dong Yang. 2022. The Palgrave Handbook of Supply Chain Management. The Palgrave Handbook of Supply Chain Management 1 12 .
A Rengarajan, Rohit Kumar, Nitin N. Sakhare, N. Thangarasu, V. Mahalakshmi & Ratnmala N. Bhimanpallewar. (2023) Measuring the Impact of Machine Learning on Real-Time Data Analysis. Measuring the Impact of Machine Learning on Real-Time Data Analysis.
Olabisi Michael Olapoju. (2023) Appraising the impact of COVID-19 on trading volume of selected vessel types in sub-Saharan Africa. Journal of Shipping and Trade 8:1.
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Summer Guo, Haoqing Wang & Shuaian Wang. (2023) Network Disruptions and Ripple Effects: Queueing Model, Simulation, and Data Analysis of Port Congestion. Journal of Marine Science and Engineering 11:9, pages 1745.
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Jianwen Ma, Yue Zhou & Zhaoxin Zhu. (2023) Identification and analysis of ship waiting behavior outside the port based on AIS data. Scientific Reports 13:1.
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Jia Shi, Yuquan Jiao, Jihong Chen & Shaorui Zhou. (2023) Construction of resilience mechanisms in response to container shipping market volatility during the pandemic period: From the perspective of market supervision. Ocean & Coastal Management 240, pages 106642.
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Hyeonsoo Shin, Chiyeol Kim & Hwanseong Kim. (2022) [ICACE2022] Prediction of container vessel waiting time in Busan port using LSTM neural network. Journal of Advanced Marine Engineering and Technology 46:6, pages 394-401.
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